Rills - 2026 Pricing, Features, Reviews & Alternatives

Rills is a supervised AI workflow automation platform that adds a human approval layer between AI generated actions and execution. The platform enables construction of automated workflows that pause at critical decision points and route proposed actions to a mobile approval queue before advancing. The system is designed for solopreneurs, entrepreneurs, small business owners and compact teams that manage operational processes. Rills addresses operational risk associated with unsupervised AI agents by preserving human oversight at configurable checkpoints.

Workflow design is available through a visual builder that supports no code configuration alongside custom code insertion through JavaScript or Python. Users can assemble workflows by defining triggers, actions, conditional branches and review steps. Individual steps leverage AI for tasks such as intent classification, draft generation and context summarization while the overall workflow follows deterministic logic that remains transparent and editable. The visual builder supports data transformation between steps through built in tools for data manipulation.

The human approval mechanism operates via a mobile optimized queue interface that displays pending actions with contextual metadata. Approvals or rejections can take place in around five seconds per decision. Paused workflows incur zero runtime cost regardless of wait duration. A confidence scoring model records approval trends and enables individual steps to graduate from supervised to autonomous execution once consistent decision alignment is achieved while autonomy thresholds remain under user control.

Rills offers a library of editable templates for common business processes including refund triage, inbox management, order escalation, lead enrichment and bug report routing. The platform maintains connectivity with native integrations to services such as Gmail, Slack, Stripe, Shopify, HubSpot, Notion, Airtable, Google Sheets, Linear and GitHub. Credentials and execution contexts for custom code steps are encrypted at rest and isolated within secure sandbox environments. The platform operates as a cloud based service that supports real time execution monitoring, performance tracking and a comprehensive approval journal that logs timestamps, decision outcomes and response latencies.